We're hiring a Senior MLOps Engineer to lead the architecture and optimization of large-scale AI training and inference infrastructure.

¿No sabe con seguridad qué habilidades necesitará para esta ocasión? Simplemente lea la descripción completa a continuación para obtener una idea clara de los requisitos del candidato.

You'll design distributed training pipelines, deploy high-performance LLM serving systems, optimize GPU utilization, and build scalable ML platforms using technologies such as PyTorch, NVIDIA NeMo, CUDA, Kubernetes, vLLM, TensorRT-LLM, SGLang, Ray, SLURM, and MLflow.

What we're looking for:

- 5+ years in MLOps, DevOps, or Software Engineering
- 2+ years working with LLM infrastructure
- Strong Python skills and experience with Kubernetes
- Expertise in distributed training, GPU optimization, and ML infrastructure
- Experience with NVIDIA xcskxlj AI software stack and high-performance computing

This is an opportunity to shape the technical direction of next‑generation AI infrastructure while working on cutting‑edge LLM training and inference at scale.

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📌 Senior MLOps Engineer (Barcelona)
🏢 European Tech Recruit
📍 Barcelona